Tags: CALCULATETABLE

Determine latest condition of each equipment and show a month wise count

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There are 100 machines in a factory.  Every machine has different test frequency. In a given month, not every machine is tested but we still have the last known rating (from some previous month) of that machine.  We have to show the latest rating of each machine for each month in a stacked column chart. […]

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Show Balance outstanding everyday even if data for everyday is not available

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In this simple 3 column dataset, there are 2 accounts – Konto 1 and Konto 2.  Each account has a balance outstanding as on a certain date.  However, if you notice carefully, there is no balance for any account on January 4-5,9-10 2020. The objective is show the balance outstanding every day.  For days which […]

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Analyse membership changes from year to year

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Assume a simple 4 column dataset as shown below.  This data shows which ID had which type of subscription in which year.  So ID A, which started as a “Free” subscriber in 2018 switched to a “Premium” subscriber in 2019 and then churned out in 2020.  Likewise, ID D which started as a “Pro” subscriber […]

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Segment towns according to volume contribution and market share with a slicer

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This post is an extension to the one I posted here – Segment towns according to volume contribution and market share. Here’s a simple dataset of Shampoo sales in the state of Rajasthan, India. For a chosen segment, one may want to segment the 4 towns based on the following conditions: Based on the two screenshots […]

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Segment towns according to volume contribution and market share

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Here’s a simple dataset of Shampoo sales in the state of Rajasthan, India. For a chosen segment, one may want to segment the 4 towns based on the following conditions: Based on the two screenshots shared above, the desired result is shown in the screenshot below: The desired result is shown in range E16:E19 and […]

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Segment customers into dynamic buckets

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Consider a 4 column table – Respondent ID, Device ID, App Name and Category.  So this dataset shows which apps are installed on which device ID by which user and which category do the apps fall into.  It is a small dataset with only 4 columns and 2,000 rows. The question on this dataset is […]

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Customer analysis by Country and time period

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Here is a Sales dataset of 8 columns and 29 rows.  It basically details the revenue earned and cash collected by service type, Customer, Country and Period.  For a selected Country and time period, there could be customers availing of both services or of any 1 service. There are 2 broad questions that one may […]

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Analyse free flowing text data or user entered remarks from multiple perspectives

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Here is a 2 column dataset – UserID in column A and Remarks in Column B.  This dataset basically tabulates the remarks/comments shared by different users.  Entries in the Remarks column are basically free flowing text entries which have the following inconsistencies/nuances: Users reported multiple errors which are separated by comma, Alt+Enter (same line within […]

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Identify Customers that Organisations can upsell or cross sell their products to

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Here’s a simple Sales data of a retail Store which sells Apple Products.  Since a customer can transact multiple times, there will be repetitions in the Cust ID column.  While Cust ID 123 and 782 purchased multiple products from the same Store in one transaction, Cust ID 53 purchased multiple products from different stores (Store […]

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Determine the most recent status after satisfying certain conditions

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Assume a three column dataset with Patient ID, Smoking Status and Review Date PatientID SmokingStatus ReviewDate P1 10-03-2018 P1 9 09-03-2018 P1 1 08-03-2018 P1 4 07-03-2018 P2 9 10-03-2018 P2 9 09-03-2018 P2 9 08-03-2018 P2 9 07-03-2018 P3 2 10-03-2018 P3 09-03-2018 P3 9 08-03-2018 P4 9 10-03-2018 P4 1 09-03-2018 P4 4 […]

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